Nameexact_genome_1512568488_45_7116_1
Workunit2606803
Created7 Dec 2017, 23:55:19 UTC
Sent7 Dec 2017, 23:58:35 UTC
Report deadline16 Dec 2017, 10:08:15 UTC
Received8 Dec 2017, 18:12:20 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID67066
Run time3 hours 31 min 2 sec
CPU time3 hours 26 min 29 sec
Validate stateValid
Credit2,105.85
Device peak FLOPS3.11 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size152.97 MB
Peak swap size151.53 MB
Peak disk usage2.01 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
ime: 1.36779177188873, output_fired_time: 1.0586963891983, propagate_forward_time: 42.1184883117676, propagate_backward_time: 66.3718109130859, weight_update_time: 0.136721551418304, other_time: 2.71905517578125
epoch time: 9.39521026611328s, input_fired_time: 0.178896397352219, output_fired_time: 0, propagate_forward_time: 8.69111919403076, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.525195121765137
validation[          , genome  7116] predictions:    9731/  10000 (97.31%), best:    9759/10000 (97.59%), error:       831.98773, best error:       812.96436 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 117.4883193970s, input_fired_time: 1.4206217527, output_fired_time: 1.0849348307, propagate_forward_time: 43.6792449951, propagate_backward_time: 68.5020904541, weight_update_time: 0.1401351243, other_time: 2.8014221191
epoch time: 10.4243450165s, input_fired_time: 0.2150785625, output_fired_time: 0.0000000000, propagate_forward_time: 9.6794309616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5298357010
validation[          , genome  7116] predictions:    9725/  10000 (97.25%), best:    9759/10000 (97.59%), error:       906.11359, best error:       812.96436 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7116.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7116_1_r417895451_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9759
read best_validation_error: 812.964
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 7116
read normal distribution: '0 1.75235211849213 -0.077430360019207'
generator_str: '446065491'
read generator: 446065491
read generated_by_map:
1 add_node 1
reading 24 nodes.
reading 51 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 113.085479736328s, input_fired_time: 1.34167790412903, output_fired_time: 1.02939641475677, propagate_forward_time: 42.3811798095703, propagate_backward_time: 65.6429595947266, weight_update_time: 0.135575845837593, other_time: 2.69026947021484
epoch time: 9.29505348205566s, input_fired_time: 0.179390594363213, output_fired_time: 0, propagate_forward_time: 8.57682132720947, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.538841247558594
validation[          , genome  7116] predictions:    9734/  10000 (97.34%), best:    9759/10000 (97.59%), error:       862.59656, best error:       812.96436 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 115.4122772217s, input_fired_time: 1.3834595680, output_fired_time: 1.0671797991, propagate_forward_time: 43.5807762146, propagate_backward_time: 66.6462020874, weight_update_time: 0.1388149858, other_time: 2.7346572876
epoch time: 11.7109470367s, input_fired_time: 0.1763715148, output_fired_time: 0.0000000000, propagate_forward_time: 11.0149326324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5196428299
validation[          , genome  7116] predictions:    9741/  10000 (97.41%), best:    9759/10000 (97.59%), error:       883.18195, best error:       812.96436 on epoch:    30, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7116.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7116_1_r417895451_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 37
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9759
read best_validation_error: 812.964
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 7116
read normal distribution: '0 1.75235211849213 -0.077430360019207'
generator_str: '1610964617'
read generator: 1610964617
read generated_by_map:
1 add_node 1
reading 24 nodes.
reading 51 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7116.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7116_1_r417895451_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 37
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9759
read best_validation_error: 812.964
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 7116
read normal distribution: '0 1.75235211849213 -0.077430360019207'
generator_str: '1610964617'
read generator: 1610964617
read generated_by_map:
1 add_node 1
reading 24 nodes.
reading 51 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 109.252487182617s, input_fired_time: 1.35277116298676, output_fired_time: 1.01845979690552, propagate_forward_time: 40.6077537536621, propagate_backward_time: 63.6630554199219, weight_update_time: 0.132726326584816, other_time: 2.61044311523438
epoch time: 9.24094486236572s, input_fired_time: 0.178033798933029, output_fired_time: 0, propagate_forward_time: 8.5521993637085, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.510711669921875
validation[          , genome  7116] predictions:    9783/  10000 (97.83%), best:    9783/10000 (97.83%), error:       738.04620, best error:       738.04620 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 113.3723526001s, input_fired_time: 1.3718489408, output_fired_time: 1.0549950600, propagate_forward_time: 42.3656005859, propagate_backward_time: 65.9078521729, weight_update_time: 0.1370335966, other_time: 2.6720581055
epoch time: 9.2229738235s, input_fired_time: 0.1770247966, output_fired_time: 0.0000000000, propagate_forward_time: 8.5482835770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4976654053
validation[          , genome  7116] predictions:    9761/  10000 (97.61%), best:    9783/10000 (97.83%), error:       802.82117, best error:       738.04620 on epoch:    37, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 113.2867126465s, input_fired_time: 1.3706786633, output_fired_time: 1.0568442345, propagate_forward_time: 42.1658058167, propagate_backward_time: 66.0002517700, weight_update_time: 0.1382751465, other_time: 2.6931228638
epoch time: 8.9371986389s, input_fired_time: 0.1733525544, output_fired_time: 0.0000000000, propagate_forward_time: 8.2649564743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4988899231
validation[          , genome  7116] predictions:    9766/  10000 (97.66%), best:    9783/10000 (97.83%), error:       794.52570, best error:       738.04620 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 113.6525650024s, input_fired_time: 1.3740208149, output_fired_time: 1.0589622259, propagate_forward_time: 42.4106559753, propagate_backward_time: 66.1274032593, weight_update_time: 0.1372100860, other_time: 2.6815261841
epoch time: 9.1302061081s, input_fired_time: 0.1776429266, output_fired_time: 0.0000000000, propagate_forward_time: 8.4614028931, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4911603928
validation[          , genome  7116] predictions:    9755/  10000 (97.55%), best:    9783/10000 (97.83%), error:       788.98706, best error:       738.04620 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 113.5466613770s, input_fired_time: 1.3751810789, output_fired_time: 1.0595632792, propagate_forward_time: 42.3534545898, propagate_backward_time: 66.0892791748, weight_update_time: 0.1364740133, other_time: 2.6691818237
epoch time: 9.2354850769s, input_fired_time: 0.1815051734, output_fired_time: 0.0000000000, propagate_forward_time: 8.5570049286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4969749451
validation[          , genome  7116] predictions:    9779/  10000 (97.79%), best:    9783/10000 (97.83%), error:       780.29150, best error:       738.04620 on epoch:    37, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 115.3313674927s, input_fired_time: 1.3852595091, output_fired_time: 1.0651218891, propagate_forward_time: 42.8776779175, propagate_backward_time: 67.3391265869, weight_update_time: 0.1354069561, other_time: 2.6641769409
epoch time: 9.0851202011s, input_fired_time: 0.1756764054, output_fired_time: 0.0000000000, propagate_forward_time: 8.3764839172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5329599380
validation[          , genome  7116] predictions:    9737/  10000 (97.37%), best:    9783/10000 (97.83%), error:       833.96826, best error:       738.04620 on epoch:    37, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 114.0144271851s, input_fired_time: 1.3826031685, output_fired_time: 1.0650243759, propagate_forward_time: 42.5600891113, propagate_backward_time: 66.3198928833, weight_update_time: 0.1373080760, other_time: 2.6868133545
epoch time: 9.3121347427s, input_fired_time: 0.1806119233, output_fired_time: 0.0000000000, propagate_forward_time: 8.6029891968, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5285339355
validation[          , genome  7116] predictions:    9753/  10000 (97.53%), best:    9783/10000 (97.83%), error:       841.08374, best error:       738.04620 on epoch:    37, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 113.7013168335s, input_fired_time: 1.3788646460, output_fired_time: 1.0600628853, propagate_forward_time: 42.4758834839, propagate_backward_time: 66.1025543213, weight_update_time: 0.1413480937, other_time: 2.6839447021
epoch time: 9.3187274933s, input_fired_time: 0.1775609106, output_fired_time: 0.0000000000, propagate_forward_time: 8.6496257782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4915409088
validation[          , genome  7116] predictions:    9698/  10000 (96.98%), best:    9783/10000 (97.83%), error:      1004.47949, best error:       738.04620 on epoch:    37, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 113.2513580322s, input_fired_time: 1.3710992336, output_fired_time: 1.0541992188, propagate_forward_time: 42.2917175293, propagate_backward_time: 65.8698043823, weight_update_time: 0.1365368068, other_time: 2.6645355225
epoch time: 9.3502759933s, input_fired_time: 0.1816812307, output_fired_time: 0.0000000000, propagate_forward_time: 8.6717376709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4968566895
validation[          , genome  7116] predictions:    9728/  10000 (97.28%), best:    9783/10000 (97.83%), error:       875.66284, best error:       738.04620 on epoch:    37, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 113.2843475342s, input_fired_time: 1.3794703484, output_fired_time: 1.0591930151, propagate_forward_time: 42.3121948242, propagate_backward_time: 65.8663101196, weight_update_time: 0.1366284341, other_time: 2.6671752930
epoch time: 9.3265676498s, input_fired_time: 0.1799686253, output_fired_time: 0.0000000000, propagate_forward_time: 8.6395759583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5070228577
validation[          , genome  7116] predictions:    9738/  10000 (97.38%), best:    9783/10000 (97.83%), error:       858.70044, best error:       738.04620 on epoch:    37, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 114.5594329834s, input_fired_time: 1.3919777870, output_fired_time: 1.0617865324, propagate_forward_time: 42.8416976929, propagate_backward_time: 66.5682144165, weight_update_time: 0.1376444846, other_time: 2.6957626343
epoch time: 9.3906126022s, input_fired_time: 0.1813747138, output_fired_time: 0.0000000000, propagate_forward_time: 8.7167129517, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4925251007
validation[          , genome  7116] predictions:    9741/  10000 (97.41%), best:    9783/10000 (97.83%), error:       844.25684, best error:       738.04620 on epoch:    37, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 115.1110610962s, input_fired_time: 1.4009424448, output_fired_time: 1.0761722326, propagate_forward_time: 43.0124473572, propagate_backward_time: 66.9251937866, weight_update_time: 0.1407501101, other_time: 2.6963119507
epoch time: 9.1481418610s, input_fired_time: 0.1774864644, output_fired_time: 0.0000000000, propagate_forward_time: 8.4796714783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4909839630
validation[          , genome  7116] predictions:    9722/  10000 (97.22%), best:    9783/10000 (97.83%), error:       869.72754, best error:       738.04620 on epoch:    37, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 114.7870025635s, input_fired_time: 1.3934060335, output_fired_time: 1.0666171312, propagate_forward_time: 42.8318710327, propagate_backward_time: 66.7783889771, weight_update_time: 0.1375629306, other_time: 2.7167129517
epoch time: 9.1890459061s, input_fired_time: 0.1782488227, output_fired_time: 0.0000000000, propagate_forward_time: 8.5196237564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4911737442
validation[          , genome  7116] predictions:    9761/  10000 (97.61%), best:    9783/10000 (97.83%), error:       797.36346, best error:       738.04620 on epoch:    37, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 114.7403411865s, input_fired_time: 1.3958961964, output_fired_time: 1.0674365759, propagate_forward_time: 42.8386154175, propagate_backward_time: 66.7552337646, weight_update_time: 0.1375164092, other_time: 2.6831588745
epoch time: 9.1105298996s, input_fired_time: 0.1789491773, output_fired_time: 0.0000000000, propagate_forward_time: 8.4387331009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4928474426
validation[          , genome  7116] predictions:    9764/  10000 (97.64%), best:    9783/10000 (97.83%), error:       801.59906, best error:       738.04620 on epoch:    37, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 113.7216491699s, input_fired_time: 1.3894909620, output_fired_time: 1.0589797497, propagate_forward_time: 42.4663085938, propagate_backward_time: 66.1232833862, weight_update_time: 0.1363528669, other_time: 2.6835861206
epoch time: 9.1529245377s, input_fired_time: 0.1950897723, output_fired_time: 0.0000000000, propagate_forward_time: 8.4638557434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4939794540
validation[          , genome  7116] predictions:    9723/  10000 (97.23%), best:    9783/10000 (97.83%), error:       854.72076, best error:       738.04620 on epoch:    37, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 114.2704086304s, input_fired_time: 1.3917479515, output_fired_time: 1.0571286678, propagate_forward_time: 42.6490821838, propagate_backward_time: 66.4786300659, weight_update_time: 0.1383603513, other_time: 2.6938247681
epoch time: 9.2884931564s, input_fired_time: 0.1813125610, output_fired_time: 0.0000000000, propagate_forward_time: 8.6140575409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4931230545
validation[          , genome  7116] predictions:    9735/  10000 (97.35%), best:    9783/10000 (97.83%), error:       934.42657, best error:       738.04620 on epoch:    37, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 113.1917495728s, input_fired_time: 1.3808319569, output_fired_time: 1.0570793152, propagate_forward_time: 42.1765174866, propagate_backward_time: 65.8920669556, weight_update_time: 0.1379071772, other_time: 2.6852645874
epoch time: 9.1061248779s, input_fired_time: 0.1787138879, output_fired_time: 0.0000000000, propagate_forward_time: 8.4398298264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4875812531
validation[          , genome  7116] predictions:    9748/  10000 (97.48%), best:    9783/10000 (97.83%), error:       805.60999, best error:       738.04620 on epoch:    37, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 113.7565841675s, input_fired_time: 1.3903445005, output_fired_time: 1.0611931086, propagate_forward_time: 42.4325141907, propagate_backward_time: 66.1821594238, weight_update_time: 0.1369475424, other_time: 2.6903686523
epoch time: 9.1974153519s, input_fired_time: 0.1789328009, output_fired_time: 0.0000000000, propagate_forward_time: 8.5303010941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4881811142
validation[          , genome  7116] predictions:    9754/  10000 (97.54%), best:    9783/10000 (97.83%), error:       843.29785, best error:       738.04620 on epoch:    37, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 112.8584518433s, input_fired_time: 1.3728835583, output_fired_time: 1.0863735676, propagate_forward_time: 41.9891052246, propagate_backward_time: 65.7392654419, weight_update_time: 0.1365127116, other_time: 2.6708221436
epoch time: 9.1166286469s, input_fired_time: 0.1777323782, output_fired_time: 0.0000000000, propagate_forward_time: 8.4476232529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4912729263
validation[          , genome  7116] predictions:    9772/  10000 (97.72%), best:    9783/10000 (97.83%), error:       750.66522, best error:       738.04620 on epoch:    37, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 113.4997940063s, input_fired_time: 1.3828260899, output_fired_time: 1.0605329275, propagate_forward_time: 42.3390655518, propagate_backward_time: 66.0379638672, weight_update_time: 0.1365623772, other_time: 2.6794052124
epoch time: 9.3343505859s, input_fired_time: 0.1862964183, output_fired_time: 0.0000000000, propagate_forward_time: 8.6466779709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5013761520
validation[          , genome  7116] predictions:    9731/  10000 (97.31%), best:    9783/10000 (97.83%), error:       902.40582, best error:       738.04620 on epoch:    37, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 113.3023147583s, input_fired_time: 1.4096435308, output_fired_time: 1.0585724115, propagate_forward_time: 42.2275543213, propagate_backward_time: 65.9434890747, weight_update_time: 0.1368483901, other_time: 2.6630554199
epoch time: 9.1934175491s, input_fired_time: 0.1799366921, output_fired_time: 0.0000000000, propagate_forward_time: 8.5220985413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4913825989
validation[          , genome  7116] predictions:    9750/  10000 (97.50%), best:    9783/10000 (97.83%), error:       842.44043, best error:       738.04620 on epoch:    37, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 113.4830780029s, input_fired_time: 1.3862290382, output_fired_time: 1.0521920919, propagate_forward_time: 42.3258247375, propagate_backward_time: 66.0534133911, weight_update_time: 0.1372083873, other_time: 2.6654129028
epoch time: 9.1446628571s, input_fired_time: 0.1809640825, output_fired_time: 0.0000000000, propagate_forward_time: 8.4755897522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4881086349
validation[          , genome  7116] predictions:    9742/  10000 (97.42%), best:    9783/10000 (97.83%), error:       822.53638, best error:       738.04620 on epoch:    37, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 113.9577484131s, input_fired_time: 1.3908468485, output_fired_time: 1.0583508015, propagate_forward_time: 42.4865074158, propagate_backward_time: 66.3320236206, weight_update_time: 0.1389818937, other_time: 2.6900253296
epoch time: 9.1400613785s, input_fired_time: 0.1791440845, output_fired_time: 0.0000000000, propagate_forward_time: 8.4695806503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4913368225
validation[          , genome  7116] predictions:    9713/  10000 (97.13%), best:    9783/10000 (97.83%), error:       894.96393, best error:       738.04620 on epoch:    37, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 114.3429260254s, input_fired_time: 1.4339653254, output_fired_time: 1.0645215511, propagate_forward_time: 42.5881843567, propagate_backward_time: 66.5527038574, weight_update_time: 0.1374008656, other_time: 2.7035522461
epoch time: 9.1885299683s, input_fired_time: 0.1798060685, output_fired_time: 0.0000000000, propagate_forward_time: 8.5111675262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4975566864
validation[          , genome  7116] predictions:    9767/  10000 (97.67%), best:    9783/10000 (97.83%), error:       832.09412, best error:       738.04620 on epoch:    37, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 114.4317016602s, input_fired_time: 1.3983273506, output_fired_time: 1.0632153749, propagate_forward_time: 42.7262840271, propagate_backward_time: 66.5540695190, weight_update_time: 0.1392158121, other_time: 2.6897964478
epoch time: 9.0924787521s, input_fired_time: 0.1801930815, output_fired_time: 0.0000000000, propagate_forward_time: 8.4193401337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4929456711
validation[          , genome  7116] predictions:    9728/  10000 (97.28%), best:    9783/10000 (97.83%), error:       864.20532, best error:       738.04620 on epoch:    37, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 113.5439834595s, input_fired_time: 1.3865458965, output_fired_time: 1.0571683645, propagate_forward_time: 42.3876762390, propagate_backward_time: 66.0309677124, weight_update_time: 0.1377313882, other_time: 2.6816329956
epoch time: 9.0773706436s, input_fired_time: 0.1761688143, output_fired_time: 0.0000000000, propagate_forward_time: 8.4022436142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4989585876
validation[          , genome  7116] predictions:    9750/  10000 (97.50%), best:    9783/10000 (97.83%), error:       837.23761, best error:       738.04620 on epoch:    37, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 123.5239486694s, input_fired_time: 1.5629914999, output_fired_time: 1.1785690784, propagate_forward_time: 45.3954200745, propagate_backward_time: 72.3905944824, weight_update_time: 0.1697832048, other_time: 2.9963836670
epoch time: 9.1311798096s, input_fired_time: 0.1809191406, output_fired_time: 0.0000000000, propagate_forward_time: 8.4607439041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4895172119
validation[          , genome  7116] predictions:    9751/  10000 (97.51%), best:    9783/10000 (97.83%), error:       774.98901, best error:       738.04620 on epoch:    37, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 113.6403121948s, input_fired_time: 1.3962887526, output_fired_time: 1.0571199656, propagate_forward_time: 42.5219879150, propagate_backward_time: 66.0162506104, weight_update_time: 0.1364589036, other_time: 2.6486663818
epoch time: 9.2912168503s, input_fired_time: 0.1829473823, output_fired_time: 0.0000000000, propagate_forward_time: 8.6162776947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4919919968
validation[          , genome  7116] predictions:    9782/  10000 (97.82%), best:    9783/10000 (97.83%), error:       751.52740, best error:       738.04620 on epoch:    37, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 113.3298797607s, input_fired_time: 1.3963738680, output_fired_time: 1.0533394814, propagate_forward_time: 42.4043540955, propagate_backward_time: 65.8302612305, weight_update_time: 0.1360206306, other_time: 2.6455535889
epoch time: 9.2973814011s, input_fired_time: 0.1896093041, output_fired_time: 0.0000000000, propagate_forward_time: 8.6125488281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4952230453
validation[          , genome  7116] predictions:    9767/  10000 (97.67%), best:    9783/10000 (97.83%), error:       781.23505, best error:       738.04620 on epoch:    37, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 114.3238525391s, input_fired_time: 1.3904778957, output_fired_time: 1.0523872375, propagate_forward_time: 43.5068588257, propagate_backward_time: 65.7201385498, weight_update_time: 0.1358615756, other_time: 2.6539840698
epoch time: 9.2255315781s, input_fired_time: 0.1788801551, output_fired_time: 0.0000000000, propagate_forward_time: 8.5524654388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4941864014
validation[          , genome  7116] predictions:    9758/  10000 (97.58%), best:    9783/10000 (97.83%), error:       838.68378, best error:       738.04620 on epoch:    37, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 112.9021911621s, input_fired_time: 1.3876984119, output_fired_time: 1.0557615757, propagate_forward_time: 42.1564025879, propagate_backward_time: 65.6443939209, weight_update_time: 0.1358497888, other_time: 2.6579360962
epoch time: 9.3503456116s, input_fired_time: 0.1831648201, output_fired_time: 0.0000000000, propagate_forward_time: 8.6705217361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4966592789
validation[          , genome  7116] predictions:    9758/  10000 (97.58%), best:    9783/10000 (97.83%), error:       758.52521, best error:       738.04620 on epoch:    37, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 113.3268508911s, input_fired_time: 1.3941268921, output_fired_time: 1.0587123632, propagate_forward_time: 42.3897666931, propagate_backward_time: 65.8286895752, weight_update_time: 0.1355930269, other_time: 2.6555480957
epoch time: 9.3661689758s, input_fired_time: 0.1830405593, output_fired_time: 0.0000000000, propagate_forward_time: 8.6702470779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5128812790
validation[          , genome  7116] predictions:    9749/  10000 (97.49%), best:    9783/10000 (97.83%), error:       827.61810, best error:       738.04620 on epoch:    37, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 113.2069702148s, input_fired_time: 1.3959633112, output_fired_time: 1.0506790876, propagate_forward_time: 42.3684234619, propagate_backward_time: 65.7467193604, weight_update_time: 0.1358275115, other_time: 2.6451797485
epoch time: 9.4600715637s, input_fired_time: 0.1840706021, output_fired_time: 0.0000000000, propagate_forward_time: 8.7743616104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5016393661
validation[          , genome  7116] predictions:    9743/  10000 (97.43%), best:    9783/10000 (97.83%), error:       861.33307, best error:       738.04620 on epoch:    37, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 112.8218994141s, input_fired_time: 1.3825701475, output_fired_time: 1.0458176136, propagate_forward_time: 42.0574035645, propagate_backward_time: 65.6665573120, weight_update_time: 0.1362329870, other_time: 2.6695556641
epoch time: 9.0391178131s, input_fired_time: 0.1791839898, output_fired_time: 0.0000000000, propagate_forward_time: 8.3590278625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5009059906
validation[          , genome  7116] predictions:    9778/  10000 (97.78%), best:    9783/10000 (97.83%), error:       764.89862, best error:       738.04620 on epoch:    37, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 113.2647399902s, input_fired_time: 1.3842079639, output_fired_time: 1.0519241095, propagate_forward_time: 42.1957015991, propagate_backward_time: 65.9579849243, weight_update_time: 0.1369739473, other_time: 2.6749191284
epoch time: 9.1285820007s, input_fired_time: 0.1769598871, output_fired_time: 0.0000000000, propagate_forward_time: 8.4617004395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4899215698
validation[          , genome  7116] predictions:    9756/  10000 (97.56%), best:    9783/10000 (97.83%), error:       792.40698, best error:       738.04620 on epoch:    37, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 113.0967407227s, input_fired_time: 1.3894582987, output_fired_time: 1.0485265255, propagate_forward_time: 42.1340255737, propagate_backward_time: 65.8472442627, weight_update_time: 0.1371073425, other_time: 2.6774902344
epoch time: 9.0938501358s, input_fired_time: 0.1771671921, output_fired_time: 0.0000000000, propagate_forward_time: 8.4132575989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5034255981
validation[          , genome  7116] predictions:    9787/  10000 (97.87%), best:    9787/10000 (97.87%), error:       737.66669, best error:       737.66669 on epoch:    72, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 113.3667144775s, input_fired_time: 1.3904792070, output_fired_time: 1.0538809299, propagate_forward_time: 42.3151664734, propagate_backward_time: 65.9376144409, weight_update_time: 0.1382352412, other_time: 2.6695785522
epoch time: 9.2585182190s, input_fired_time: 0.1805628240, output_fired_time: 0.0000000000, propagate_forward_time: 8.5742797852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5036754608
validation[          , genome  7116] predictions:    9785/  10000 (97.85%), best:    9785/10000 (97.85%), error:       680.09662, best error:       680.09662 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 113.6527786255s, input_fired_time: 1.3958780766, output_fired_time: 1.0561950207, propagate_forward_time: 42.4331703186, propagate_backward_time: 66.0901336670, weight_update_time: 0.1364107281, other_time: 2.6773986816
epoch time: 9.0819110870s, input_fired_time: 0.1809905916, output_fired_time: 0.0000000000, propagate_forward_time: 8.4104547501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4904661179
validation[          , genome  7116] predictions:    9766/  10000 (97.66%), best:    9785/10000 (97.85%), error:       756.13782, best error:       680.09662 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 113.7587966919s, input_fired_time: 1.3991658688, output_fired_time: 1.0692244768, propagate_forward_time: 42.3394966125, propagate_backward_time: 66.2396469116, weight_update_time: 0.1373597682, other_time: 2.7112655640
epoch time: 9.3284940720s, input_fired_time: 0.1908725798, output_fired_time: 0.0000000000, propagate_forward_time: 8.6448755264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4927463531
validation[          , genome  7116] predictions:    9768/  10000 (97.68%), best:    9785/10000 (97.85%), error:       804.84784, best error:       680.09662 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 113.3864517212s, input_fired_time: 1.3935555220, output_fired_time: 1.0511215925, propagate_forward_time: 42.3974113464, propagate_backward_time: 65.8854217529, weight_update_time: 0.1372360736, other_time: 2.6589355469
epoch time: 9.0894289017s, input_fired_time: 0.1800704449, output_fired_time: 0.0000000000, propagate_forward_time: 8.4107141495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4986438751
validation[          , genome  7116] predictions:    9761/  10000 (97.61%), best:    9785/10000 (97.85%), error:       789.98016, best error:       680.09662 on epoch:    73, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 113.5397262573s, input_fired_time: 1.4043111801, output_fired_time: 1.0568764210, propagate_forward_time: 42.3604545593, propagate_backward_time: 66.0447998047, weight_update_time: 0.1373074055, other_time: 2.6732788086
epoch time: 9.1617050171s, input_fired_time: 0.1820783764, output_fired_time: 0.0000000000, propagate_forward_time: 8.4851121902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4945144653
validation[          , genome  7116] predictions:    9754/  10000 (97.54%), best:    9785/10000 (97.85%), error:       811.20013, best error:       680.09662 on epoch:    73, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 113.8818740845s, input_fired_time: 1.4179502726, output_fired_time: 1.0606027842, propagate_forward_time: 42.5402069092, propagate_backward_time: 66.1935272217, weight_update_time: 0.1366460472, other_time: 2.6695861816
epoch time: 9.2136535645s, input_fired_time: 0.1817460805, output_fired_time: 0.0000000000, propagate_forward_time: 8.5439682007, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4879388809
validation[          , genome  7116] predictions:    9733/  10000 (97.33%), best:    9785/10000 (97.85%), error:       833.44696, best error:       680.09662 on epoch:    73, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 114.5679626465s, input_fired_time: 1.4216412306, output_fired_time: 1.0633611679, propagate_forward_time: 42.8397178650, propagate_backward_time: 66.5416488647, weight_update_time: 0.1373060048, other_time: 2.7015914917
epoch time: 9.2159872055s, input_fired_time: 0.1854049116, output_fired_time: 0.0000000000, propagate_forward_time: 8.5215435028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5090389252
validation[          , genome  7116] predictions:    9764/  10000 (97.64%), best:    9785/10000 (97.85%), error:       780.61847, best error:       680.09662 on epoch:    73, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 114.0503387451s, input_fired_time: 1.4111667871, output_fired_time: 1.0574901104, propagate_forward_time: 42.5849113464, propagate_backward_time: 66.3073272705, weight_update_time: 0.1363314241, other_time: 2.6894531250
epoch time: 9.1581001282s, input_fired_time: 0.1822804958, output_fired_time: 0.0000000000, propagate_forward_time: 8.4823026657, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4935169220
validation[          , genome  7116] predictions:    9753/  10000 (97.53%), best:    9785/10000 (97.85%), error:       829.84253, best error:       680.09662 on epoch:    73, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 114.8150405884s, input_fired_time: 1.3975012302, output_fired_time: 1.0665007830, propagate_forward_time: 42.4443817139, propagate_backward_time: 67.2172698975, weight_update_time: 0.1386316866, other_time: 2.6893920898
epoch time: 9.1566677094s, input_fired_time: 0.1811191887, output_fired_time: 0.0000000000, propagate_forward_time: 8.4829378128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4926109314
validation[          , genome  7116] predictions:    9775/  10000 (97.75%), best:    9785/10000 (97.85%), error:       766.24835, best error:       680.09662 on epoch:    73, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 114.0294113159s, input_fired_time: 1.4126195908, output_fired_time: 1.0587582588, propagate_forward_time: 42.5368385315, propagate_backward_time: 66.3602142334, weight_update_time: 0.1374565214, other_time: 2.6609802246
epoch time: 9.2587251663s, input_fired_time: 0.1832578182, output_fired_time: 0.0000000000, propagate_forward_time: 8.5800056458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4954614639
validation[          , genome  7116] predictions:    9787/  10000 (97.87%), best:    9785/10000 (97.85%), error:       747.61664, best error:       680.09662 on epoch:    73, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 114.5018386841s, input_fired_time: 1.4251840115, output_fired_time: 1.0597487688, propagate_forward_time: 42.7841148376, propagate_backward_time: 66.5513763428, weight_update_time: 0.1372773349, other_time: 2.6814117432
epoch time: 9.2969779968s, input_fired_time: 0.1853167117, output_fired_time: 0.0000000000, propagate_forward_time: 8.6134366989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4982242584
validation[          , genome  7116] predictions:    9767/  10000 (97.67%), best:    9785/10000 (97.85%), error:       810.18005, best error:       680.09662 on epoch:    73, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 114.4152450562s, input_fired_time: 1.4071739912, output_fired_time: 1.0622907877, propagate_forward_time: 42.7446556091, propagate_backward_time: 66.5046463013, weight_update_time: 0.1367534995, other_time: 2.6964797974
epoch time: 9.2858285904s, input_fired_time: 0.1867550910, output_fired_time: 0.0000000000, propagate_forward_time: 8.5916767120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5073966980
validation[          , genome  7116] predictions:    9770/  10000 (97.70%), best:    9785/10000 (97.85%), error:       771.66663, best error:       680.09662 on epoch:    73, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 113.2920150757s, input_fired_time: 1.4090983868, output_fired_time: 1.0551433563, propagate_forward_time: 42.2562751770, propagate_backward_time: 65.8970947266, weight_update_time: 0.1358131021, other_time: 2.6744079590
epoch time: 9.1402187347s, input_fired_time: 0.1798389554, output_fired_time: 0.0000000000, propagate_forward_time: 8.4634714127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4969081879
validation[          , genome  7116] predictions:    9759/  10000 (97.59%), best:    9785/10000 (97.85%), error:       814.14001, best error:       680.09662 on epoch:    73, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 113.4128265381s, input_fired_time: 1.4043260813, output_fired_time: 1.0514546633, propagate_forward_time: 42.3429756165, propagate_backward_time: 65.9624099731, weight_update_time: 0.1362233758, other_time: 2.6516647339
epoch time: 9.2482223511s, input_fired_time: 0.1840343773, output_fired_time: 0.0000000000, propagate_forward_time: 8.5734157562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4907722473
validation[          , genome  7116] predictions:    9773/  10000 (97.73%), best:    9785/10000 (97.85%), error:       795.09460, best error:       680.09662 on epoch:    73, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 113.1050643921s, input_fired_time: 1.4314372540, output_fired_time: 1.0501958132, propagate_forward_time: 42.1154632568, propagate_backward_time: 65.8259658813, weight_update_time: 0.1370954067, other_time: 2.6820068359
epoch time: 9.1490898132s, input_fired_time: 0.1817247719, output_fired_time: 0.0000000000, propagate_forward_time: 8.4767599106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4906053543
validation[          , genome  7116] predictions:    9741/  10000 (97.41%), best:    9785/10000 (97.85%), error:       859.40448, best error:       680.09662 on epoch:    73, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 113.4728088379s, input_fired_time: 1.4132840633, output_fired_time: 1.0536739826, propagate_forward_time: 42.3852272034, propagate_backward_time: 65.9418869019, weight_update_time: 0.1379970759, other_time: 2.6787338257
epoch time: 9.0035028458s, input_fired_time: 0.1808837503, output_fired_time: 0.0000000000, propagate_forward_time: 8.3269767761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4956426620
validation[          , genome  7116] predictions:    9695/  10000 (96.95%), best:    9785/10000 (97.85%), error:       995.15881, best error:       680.09662 on epoch:    73, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 113.2834548950s, input_fired_time: 1.3981416225, output_fired_time: 1.0516593456, propagate_forward_time: 42.3061485291, propagate_backward_time: 65.8554458618, weight_update_time: 0.1386165917, other_time: 2.6720657349
epoch time: 9.1433429718s, input_fired_time: 0.1814495772, output_fired_time: 0.0000000000, propagate_forward_time: 8.4734039307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4884891510
validation[          , genome  7116] predictions:    9722/  10000 (97.22%), best:    9785/10000 (97.85%), error:       926.37781, best error:       680.09662 on epoch:    73, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 113.8645095825s, input_fired_time: 1.4200153351, output_fired_time: 1.0536317825, propagate_forward_time: 42.6524734497, propagate_backward_time: 66.0457687378, weight_update_time: 0.1376330107, other_time: 2.6926193237
epoch time: 9.1038570404s, input_fired_time: 0.1822820157, output_fired_time: 0.0000000000, propagate_forward_time: 8.4344778061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4870967865
validation[          , genome  7116] predictions:    9765/  10000 (97.65%), best:    9785/10000 (97.85%), error:       775.06671, best error:       680.09662 on epoch:    73, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 113.4158706665s, input_fired_time: 1.4063565731, output_fired_time: 1.0548475981, propagate_forward_time: 42.4502906799, propagate_backward_time: 65.8314361572, weight_update_time: 0.1371365786, other_time: 2.6729431152
epoch time: 9.1011390686s, input_fired_time: 0.1833512634, output_fired_time: 0.0000000000, propagate_forward_time: 8.4309463501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4868412018
validation[          , genome  7116] predictions:    9756/  10000 (97.56%), best:    9785/10000 (97.85%), error:       817.36029, best error:       680.09662 on epoch:    73, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 113.2658081055s, input_fired_time: 1.4069503546, output_fired_time: 1.0531932116, propagate_forward_time: 42.3046340942, propagate_backward_time: 65.8446731567, weight_update_time: 0.1367329210, other_time: 2.6563568115
epoch time: 9.1072511673s, input_fired_time: 0.1847135574, output_fired_time: 0.0000000000, propagate_forward_time: 8.4345102310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4880275726
validation[          , genome  7116] predictions:    9758/  10000 (97.58%), best:    9785/10000 (97.85%), error:       814.95453, best error:       680.09662 on epoch:    73, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 113.7665405273s, input_fired_time: 1.4110084772, output_fired_time: 1.0560567379, propagate_forward_time: 42.5280990601, propagate_backward_time: 66.0924453735, weight_update_time: 0.1371069252, other_time: 2.6789321899
epoch time: 9.2901468277s, input_fired_time: 0.1898998171, output_fired_time: 0.0000000000, propagate_forward_time: 8.6072912216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4929561615
validation[          , genome  7116] predictions:    9751/  10000 (97.51%), best:    9785/10000 (97.85%), error:       809.07288, best error:       680.09662 on epoch:    73, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 114.3248519897s, input_fired_time: 1.4256335497, output_fired_time: 1.0647062063, propagate_forward_time: 42.7509117126, propagate_backward_time: 66.3962402344, weight_update_time: 0.1369721591, other_time: 2.6873626709
epoch time: 9.2389059067s, input_fired_time: 0.1871463656, output_fired_time: 0.0000000000, propagate_forward_time: 8.5594167709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4923429489
validation[          , genome  7116] predictions:    9769/  10000 (97.69%), best:    9785/10000 (97.85%), error:       753.91833, best error:       680.09662 on epoch:    73, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 113.9166259766s, input_fired_time: 1.4305055141, output_fired_time: 1.0565093756, propagate_forward_time: 42.5684852600, propagate_backward_time: 66.1945953369, weight_update_time: 0.1374114752, other_time: 2.6665344238
epoch time: 9.2315912247s, input_fired_time: 0.1847153902, output_fired_time: 0.0000000000, propagate_forward_time: 8.5545454025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4923305511
validation[          , genome  7116] predictions:    9758/  10000 (97.58%), best:    9785/10000 (97.85%), error:       766.06854, best error:       680.09662 on epoch:    73, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 114.6419372559s, input_fired_time: 1.4475976229, output_fired_time: 1.0731652975, propagate_forward_time: 42.9290771484, propagate_backward_time: 66.5123214722, weight_update_time: 0.1364390701, other_time: 2.6797714233
epoch time: 9.1770715714s, input_fired_time: 0.1859129220, output_fired_time: 0.0000000000, propagate_forward_time: 8.4910240173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5001344681
validation[          , genome  7116] predictions:    9771/  10000 (97.71%), best:    9785/10000 (97.85%), error:       780.99872, best error:       680.09662 on epoch:    73, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 114.0462722778s, input_fired_time: 1.4191371202, output_fired_time: 1.0550135374, propagate_forward_time: 42.6134223938, propagate_backward_time: 66.2787857056, weight_update_time: 0.1358624250, other_time: 2.6799087524
epoch time: 9.2265682220s, input_fired_time: 0.1872133464, output_fired_time: 0.0000000000, propagate_forward_time: 8.5429124832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4964427948
validation[          , genome  7116] predictions:    9762/  10000 (97.62%), best:    9785/10000 (97.85%), error:       796.32544, best error:       680.09662 on epoch:    73, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 114.0288238525s, input_fired_time: 1.4325568676, output_fired_time: 1.0577181578, propagate_forward_time: 42.5368080139, propagate_backward_time: 66.3348083496, weight_update_time: 0.1372601092, other_time: 2.6669311523
epoch time: 9.2319250107s, input_fired_time: 0.1879562140, output_fired_time: 0.0000000000, propagate_forward_time: 8.5466794968, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4972896576
validation[          , genome  7116] predictions:    9776/  10000 (97.76%), best:    9785/10000 (97.85%), error:       742.48969, best error:       680.09662 on epoch:    73, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 114.6368484497s, input_fired_time: 1.4367187023, output_fired_time: 1.0723201036, propagate_forward_time: 42.8419952393, propagate_backward_time: 66.5864257813, weight_update_time: 0.1386840641, other_time: 2.6993865967
epoch time: 9.0689516068s, input_fired_time: 0.1837683618, output_fired_time: 0.0000000000, propagate_forward_time: 8.3911724091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4940109253
validation[          , genome  7116] predictions:    9790/  10000 (97.90%), best:    9785/10000 (97.85%), error:       753.66919, best error:       680.09662 on epoch:    73, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 115.0966720581s, input_fired_time: 1.4248960018, output_fired_time: 2.2478220463, propagate_forward_time: 42.6071929932, propagate_backward_time: 66.1593856812, weight_update_time: 0.1348806620, other_time: 2.6573715210
epoch time: 9.2301778793s, input_fired_time: 0.1842586100, output_fired_time: 0.0000000000, propagate_forward_time: 8.5494565964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4964628220
validation[          , genome  7116] predictions:    9722/  10000 (97.22%), best:    9785/10000 (97.85%), error:       938.31219, best error:       680.09662 on epoch:    73, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 45.7311363220s, input_fired_time: 0.9130628109, output_fired_time: 0.0000000000, propagate_forward_time: 42.3348083496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4832649231
best training[          , genome  7116] predictions:   49659/  50000 (99.32%), best:    9785/10000 (97.85%), error:      1341.23560, best error:       680.09662 on epoch:    73, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 9.1864700317s, input_fired_time: 0.1809414476, output_fired_time: 0.0000000000, propagate_forward_time: 8.5130319595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4924964905
   testing[          , genome  7116] predictions:    9803/  10000 (98.03%), best:    9785/10000 (97.85%), error:       655.05139, best error:       680.09662 on epoch:    73, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
18:11:32 (5712): called boinc_finish(0)

</stderr_txt>
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